AI & Machine Learning
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34:26 Accelerate your machine learning workloads with the M5 and A19 GPUs
35:08 Boost your graphics performance with the M5 and A19 GPUs
23:48 Explore and manipulate data in Swift with TabularData
10:58 Build with the new Apple Foundation Model on Private Cloud Compute
23:44 Integrate on-device AI models into your app using Core AI
24:20 Code-along: Make your app available to Siri
25:46 Meet the Evaluations framework
20:43 Meet Core AI
16:13 Optimize custom machine learning operations with Metal tensors
14:31 Explore numerical computing in Swift with MLX
14:11 Create high-quality images using Image Playground
21:28 Create robust evaluations for agentic apps
13:37 Run local agentic AI on the Mac using MLX
22:06 Explore distributed inference and training with MLX
24:08 Explore advanced App Intents features for Siri and Apple Intelligence
62:29 Coding Intelligence, Machine Learning & AI Group Lab
63:55 Apple Intelligence Group Lab
16:36 Build AI-powered scripts with the fm CLI and Python SDK
22:16 Build real-time neural rendering pipelines with Metal
17:45 Best practices for integrating visual intelligence in your app
14:20 Debug and profile agentic app experiences with Instruments
62:41 Machine Learning & AI Group Lab
28:00 Speedrun your game port with agentic coding
25:57 Validate your App Intents adoption with AppIntentsTesting
14:52 Translate your app using agents in Xcode
11:02 What’s new in Shortcuts
15:46 What’s new in image understanding
29:21 Dive into Core AI model authoring and optimization
21:13 What’s new in the Foundation Models framework
20:41 Bring an LLM provider to the Foundation Models framework
21:43 Build agentic app experiences with the Foundation Models framework
18:02 Discover new capabilities in the App Intents framework
16:25 LLM search using Core Spotlight
27:23 Build intelligent Siri experiences with App Schemas
16:40 Meet the Music Understanding framework
18:11 Create UI prototypes using agents in Xcode
25:12 Secure your app: mitigate risks to agentic features
27:54 Bringing Cyberpunk 2077 to Mac
15:58 Design immersive environments for visionOS apps and the spatial web
26:41 Improve your prompts by hill-climbing with Evaluations
87:52 Inside Apple Intelligence and Xcode: Special Presentation
14:02 Code-along: Experiment with coding intelligence in Xcode 26
60:53 Apple Intelligence Group Lab
61:41 Apple Intelligence Group Lab
103:37 Code along with the Foundation Models framework
19:27 Discover machine learning & AI frameworks on Apple platforms
22:11 Explore prompt design & safety for on-device foundation models
23:45 What’s new in BNNS Graph
32:59 Optimize CPU performance with Instruments
29:40 Combine Metal 4 machine learning and graphics
26:49 Explore new advances in App Intents
24:36 Get to know App Intents
7:28 Design interactive snippets
25:31 Deep dive into the Foundation Models framework
18:56 Develop for Shortcuts and Spotlight with App Intents
30:32 Code-along: Bring on-device AI to your app using the Foundation Models framework
23:24 Meet the Foundation Models framework
19:29 Get started with MLX for Apple silicon
19:07 Bring advanced speech-to-text to your app with SpeechAnalyzer
20:22 Read documents using the Vision framework
17:54 Dive deeper into Writing Tools
20:08 Explore large language models on Apple silicon with MLX
20:03 Support real-time ML inference on the CPU
12:24 Get started with Writing Tools
17:56 What’s new in App Intents
11:32 What’s new in Create ML
21:18 Introducing enterprise APIs for visionOS
16:06 What’s new in DockKit
22:49 Build a great Lock Screen camera capture experience
26:02 Bring your app’s core features to users with App Intents
16:49 Discover Swift enhancements in the Vision framework
9:19 Design App Intents for system experiences
16:31 Meet the Translation API
34:29 Use HDR for dynamic image experiences in your app
18:21 Train your machine learning and AI models on Apple GPUs
21:49 Bring your app to Siri
10:55 Support semantic search with Core Spotlight
30:09 Bring your machine learning and AI models to Apple silicon
23:48 Keep colors consistent across captures
17:33 Explore machine learning on Apple platforms
18:15 Deploy machine learning and AI models on-device with Core ML
17:01 Explore object tracking for visionOS
25:06 Accelerate machine learning with Metal
14:38 Explore 3D body pose and person segmentation in Vision
14:25 Explore Natural Language multilingual models
Q&A: Image understanding and the Vision framework
Q&A: Machine learning open forum
16:50 Discover machine learning enhancements in Create ML
Q&A: Natural Language and Speech
23:21 Improve Core ML integration with async prediction
18:38 Lift subjects from images in your app
Q&A: Core ML
21:15 Optimize machine learning for Metal apps
Q&A: Machine learning open forum
Q&A: Live Text and data scanning
7:52 Customize on-device speech recognition
Q&A: Machine learning open forum
17:35 Integrate with motorized iPhone stands using DockKit
Q&A: Create ML
25:18 Use Core ML Tools for machine learning model compression
19:56 What’s new in VisionKit
Q&A: Subject lifting
13:47 Detect animal poses in Vision
Q&A: Machine learning open forum
25:31 Get to know Create ML Components
Meet the Presenter: Get to know Create ML Components
16:46 What's new in Create ML
12:11 Capture machine-readable codes and text with VisionKit
Q&A: Create ML
23:30 Optimize your Core ML usage
13:25 Compose advanced models with Create ML Components
Q&A: Core ML
Meet the Presenter: Compose advanced models with Create ML Components
Q&A: Vision
19:48 What's new in Vision
17:19 Explore the machine learning development experience
29:51 Accelerate machine learning with Metal
Meet the Presenter: Accelerate machine learning with Metal
Meet the Presenter: Create custom catalogs at scale with ShazamKit
Meet the Presenter: Explore the machine learning developer experience
36:34 The process of inclusive design
26:49 Classify hand poses and actions with Create ML
19:16 Discover built-in sound classification in SoundAnalysis
17:58 Detect people, faces, and poses using Vision
16:49 Build dynamic iOS apps with the Create ML framework
32:44 Discoverable design
19:12 Extract document data using Vision
29:12 Accelerate machine learning with Metal Performance Shaders Graph
14:22 Use Accelerate to improve performance and incorporate encrypted archives
24:30 Tune your Core ML models
24:42 Use model deployment and security with Core ML
24:21 Detect Body and Hand Pose with Vision
26:06 Build an Action Classifier with Create ML
36:27 Explore the Action & Vision app
24:35 Explore Computer Vision APIs
41:04 Make apps smarter with Natural Language
11:48 Build Image and Video Style Transfer models in Create ML
39:35 Build customized ML models with the Metal Performance Shaders Graph
18:39 Control training in Create ML with Swift
31:16 Get models on device using Core ML Converters
14:49 What's New in Machine Learning
40:38 Core ML 3 Framework
20:11 Training Sound Classification Models in Create ML
15:41 Training Object Detection Models in Create ML
Create ML for Object Detection and Sound Classification
39:50 Understanding Images in Vision Framework
38:15 Text Recognition in Vision Framework
41:25 Metal for Machine Learning
Create ML for Activity, Text, and Recommendations
29:43 Creating Great Apps Using Core ML and ARKit
39:19 Advances in Natural Language Framework
15:01 Building Activity Classification Models in Create ML
12:05 Training Text Classifiers in Create ML
6:10 Advances in Speech Recognition
10:31 Training Recommendation Models in Create ML
14:34 Introducing the Create ML App
57:45